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情感嗅觉感知的网络模型。

A network model of affective odor perception.

机构信息

Perceptual and Cognitive Systems, TNO, Soesterberg, The Netherlands.

Risk Analysis for Products in Development RAPID, TNO, Zeist, The Netherlands.

出版信息

PLoS One. 2020 Jul 30;15(7):e0236468. doi: 10.1371/journal.pone.0236468. eCollection 2020.

Abstract

The affective appraisal of odors is known to depend on their intensity (I), familiarity (F), detection threshold (T), and on the baseline affective state of the observer. However, the exact nature of these relations is still largely unknown. We therefore performed an observer experiment in which participants (N = 52) smelled 40 different odors (varying widely in hedonic valence) and reported the intensity, familiarity and their affective appraisal (valence and arousal: V and A) for each odor. Also, we measured the baseline affective state (valence and arousal: BV and BA) and odor detection threshold of the participants. Analyzing the results for pleasant and unpleasant odors separately, we obtained two models through network analysis. Several relations that have previously been reported in the literature also emerge in both models (the relations between F and I, F and V, I and A; I and V, BV and T). However, there are also relations that do not emerge (between BA and V, BV and I, and T and I) or that appear with a different polarity (the relation between F and A for pleasant odors). Intensity (I) has the largest impact on the affective appraisal of unpleasant odors, while F significantly contributes to the appraisal of pleasant odors. T is only affected by BV and has no effect on other variables. This study is a first step towards an integral study of the affective appraisal of odors through network analysis. Future studies should also include other factors that are known to influence odor appraisal, such as age, gender, personality, and culture.

摘要

气味的情感评价已知取决于其强度(I)、熟悉度(F)、检测阈值(T)以及观察者的基线情感状态。然而,这些关系的确切性质在很大程度上仍然未知。因此,我们进行了一项观察者实验,其中参与者(N=52)闻了 40 种不同的气味(在愉悦度上差异很大),并报告了每种气味的强度、熟悉度和情感评价(愉悦度和唤醒度:V 和 A)。此外,我们还测量了参与者的基线情感状态(愉悦度和唤醒度:BV 和 BA)和气味检测阈值。通过网络分析分别分析愉悦和不愉快气味的结果,我们得到了两个模型。几个之前在文献中报道过的关系也出现在这两个模型中(F 和 I、F 和 V、I 和 A;I 和 V、BV 和 T)。然而,也有一些关系没有出现(BA 和 V、BV 和 I 以及 T 和 I)或表现出不同的极性(对于愉悦气味,F 和 A 之间的关系)。强度(I)对不愉快气味的情感评价影响最大,而 F 则显著影响愉悦气味的评价。T 仅受 BV 影响,对其他变量没有影响。本研究是通过网络分析综合研究气味情感评价的第一步。未来的研究还应包括其他已知影响气味评价的因素,如年龄、性别、个性和文化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f354/7392242/ccdba7cf2757/pone.0236468.g001.jpg

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